학술논문

Statistical characterization of multiple-reaction monitoring mass spectrometry (MRM-MS) assays for quantitative proteomics.
Document Type
Article
Source
BMC Bioinformatics. 2012, Vol. 13 Issue Suppl 16, p1-18. 18p. 1 Diagram, 5 Charts, 4 Graphs.
Subject
*STATISTICAL methods in mass spectrometry
*PROTEOMICS
*ISOTOPE dilution analysis
*STABLE isotopes
*PEPTIDE analysis
*PROTEIN analysis
Language
ISSN
1471-2105
Abstract
Multiple reaction monitoring mass spectrometry (MRM-MS) with stable isotope dilution (SID) is increasingly becoming a widely accepted assay for the quantification of proteins and peptides. These assays have shown great promise in relatively high throughput verification of candidate biomarkers. While the use of MRM-MS assays is well established in the small molecule realm, their introduction and use in proteomics is relatively recent. As such, statistical and computational methods for the analysis of MRM-MS data from proteins and peptides are still being developed. Based on our extensive experience with analyzing a wide range of SID-MRM-MS data, we set forth a methodology for analysis that encompasses significant aspects ranging from data quality assessment, assay characterization including calibration curves, limits of detection (LOD) and quantification (LOQ), and measurement of intra- and interlaboratory precision. We draw upon publicly available seminal datasets to illustrate our methods and algorithms. [ABSTRACT FROM AUTHOR]